Jean‐Pierre Garnier

98 total papers · 1.0k total citations
38 papers, 770 citations indexed

About

Jean‐Pierre Garnier is a scholar working on Sociology and Political Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Jean‐Pierre Garnier has authored 38 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sociology and Political Science, 4 papers in Molecular Biology and 4 papers in Biotechnology. Recurrent topics in Jean‐Pierre Garnier's work include Microbial Inactivation Methods (4 papers), Microfluidic and Bio-sensing Technologies (3 papers) and French Urban and Social Studies (3 papers). Jean‐Pierre Garnier is often cited by papers focused on Microbial Inactivation Methods (4 papers), Microfluidic and Bio-sensing Technologies (3 papers) and French Urban and Social Studies (3 papers). Jean‐Pierre Garnier collaborates with scholars based in France, Belgium and Cameroon. Jean‐Pierre Garnier's co-authors include Jean–François Gautier, Alain Duvallet, É. de Kerviler, A.X. Bigard, Charles Yannick Guézennec, Jean‐Marie Villette, G Cathelineau, Vincent Blanckaert, Justin Teissié and Bernard Bousquet and has published in prestigious journals such as Journal of Applied Physics, Diabetes Care and Water Research.

In The Last Decade

Jean‐Pierre Garnier

34 papers receiving 729 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jean‐Pierre Garnier 210 119 105 100 99 38 770
Mamoru Tanaka 150 0.7× 43 0.4× 124 1.2× 120 1.2× 49 0.5× 68 722
Monika Dvořáková 87 0.4× 41 0.3× 216 2.1× 41 0.4× 51 0.5× 36 655
Marilyn S. Campbell 216 1.0× 63 0.5× 107 1.0× 71 0.7× 20 0.2× 29 722
Raffaele Ivan Cincione 227 1.1× 132 1.1× 112 1.1× 138 1.4× 16 0.2× 34 773
Hee Jung Ahn 224 1.1× 117 1.0× 68 0.6× 47 0.5× 101 1.0× 33 713
Yingnan Cao 122 0.6× 80 0.7× 249 2.4× 51 0.5× 51 0.5× 27 665
Young Hye Cho 192 0.9× 78 0.7× 178 1.7× 130 1.3× 35 0.4× 107 900
Young Min Park 182 0.9× 51 0.4× 162 1.5× 105 1.1× 20 0.2× 79 906
Anna Artati 242 1.2× 109 0.9× 343 3.3× 102 1.0× 21 0.2× 39 801
Jung‐Eun Kim 108 0.5× 25 0.2× 85 0.8× 48 0.5× 148 1.5× 36 690

Countries citing papers authored by Jean‐Pierre Garnier

Since Specialization
Citations

This map shows the geographic impact of Jean‐Pierre Garnier's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jean‐Pierre Garnier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Pierre Garnier more than expected).

Fields of papers citing papers by Jean‐Pierre Garnier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Pierre Garnier. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jean‐Pierre Garnier. The network helps show where Jean‐Pierre Garnier may publish in the future.

Co-authorship network of co-authors of Jean‐Pierre Garnier

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Pierre Garnier. A scholar is included among the top collaborators of Jean‐Pierre Garnier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean‐Pierre Garnier. Jean‐Pierre Garnier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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